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A statistical-based geospatial approach to prioritize the watersheds for soil erosion conservation in the Upper Awash Basin (Upstream Koka), Ethiopia.

Authors :
Kamaraj, Pradeep
Thangapandian, Immanuvel David
Karuppannan, Shankar
Garo, Tola
Source :
Kuwait Journal of Science. Apr2024, Vol. 51 Issue 2, p1-12. 12p.
Publication Year :
2024

Abstract

The current study focuses on the Upper Awash basin’s morphometric parameters to understand the watershed’s hydrologic characters with respect to soil erosion conservation. A correlation analysis based on a weighted sum approach was adopted to address the objectives of this research. The drainage patterns were extracted from SRTM-DEM (Shuttle Radar Topography Mission-digital elevation model), and ‘Stahler’s method’ was adopted to determine the stream order. The standardized formulas were employed to calculate about 23 different morphometric parameters. The Upper Awash basin (Koka) has been classified into six watersheds (WS-1 to WS-6). There are eleven selected variables, namely bifurcation ratio (Rb), drainage/stream frequency (Fs), drainage density (Dd), texture ratio (T), drainage texture (If), length of overland flow (Lo), form factor (Ff), shape factor (Bs), elongation ratio (Re), compact coefficient (CC) and circularity ratio (Rc) were used for prioritization ranking and categorization. The study has inferred four categories: very high, high, medium, and low, using the quartile statistical method and weighted compound value. Soil erosion is a major concern in watersheds composed of weak igneous rocks such as ignimbrite and holocene sediments such as limestone, conglomerate, sand, silt, and clay. Hence, three watersheds (WS-4, WS-5, and WS-6) with 53 % of the area have been identified as having strong soil erosion potential, representing very high and high categories requiring immediate conservation measures. Soil erosion conservation efforts and water resource management initiatives will benefit greatly from this effort. In addition, this study confirms that environmental studies utilizing a statistical approach based on GIS (geographical information system) are highly beneficial. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23074108
Volume :
51
Issue :
2
Database :
Academic Search Index
Journal :
Kuwait Journal of Science
Publication Type :
Academic Journal
Accession number :
178304083
Full Text :
https://doi.org/10.1016/j.kjs.2024.100198